class_docstr: Dataset for NP Semantic Segmentation Model
  
      Args:
          file_path (str): read data from this local file path
  
          train_to_test_ratio (:obj:`float`): the train-to-test ration of the dataset
  
          feature_vec_dim (:obj:`int`): the size of the feature vector for each noun-phrase
docstr: dict(:obj:`numpy.ndarray`): test set (X)
docstr_tok: ["dict","(",":","obj",":","`","numpy.ndarray","`",")",":","test","set","(","X",")"]
code: def test_set_x(self):
      """dict(:obj:`numpy.ndarray`): test set (X)"""
      return self.data_set["test"]["X"]
  
imports: import argparse
  import csv
  import math
  import os
  from multiprocessing import Pool
  import feature_extraction
  import numpy
  from tqdm import tqdm
  from nlp_architect.utils.io import validate_existing_filepath, validate_parent_exists, validate_proxy_path
label_desc: Use image node_id 8 for calling the NpSemanticSegData obj's underlying member method code with example usage: obj.test_set_x() and returns: self